Only W2: SRE / Production Reliability Engineer, Woonsocket, RI

Role: Senior SRE / Production Reliability Engineer

Experience: 8+ Years

Location: Woonsocket, RI

Job Summary

We are looking for a Senior SRE / Production Reliability Engineer to improve the reliability, performance, and availability of critical production systems.

The ideal candidate should have strong experience in SRE/DevOps, Incident Management, Observability, Kubernetes, GCP, and production monitoring, along with hands-on experience with time-series anomaly detection.

What You Ll Do

• Own reliability and performance of critical production applications.
• Act as an Incident Commander (IC) during P1/P2 production incidents.
• Lead incident response, root-cause analysis, postmortems, and reliability improvements.
• Define and manage SLIs, SLOs, and error budgets.
• Build and improve monitoring, alerting, and observability solutions.
• Tune and validate time-series anomaly detection models for production monitoring.
• Develop automation and operational tools using Python, Java, and React.
• Troubleshoot Kubernetes, cloud, batch processing, and data pipeline issues.
• Work with engineering and operations teams to improve system reliability and reduce manual work.
• Support large-scale deployments and manage production risks such as configuration drift and blast radius.

Must-Have Skills

• 8+ years of experience in SRE, DevOps, Platform Engineering, or Production Engineering.
• Hands-on experience as an Incident Commander for P1/P2 incidents.
• Strong experience with time-series anomaly detection models in production observability mandatory.
• Strong production-level programming skills in:
• Python
• Java
• React
• Strong experience with SLI, SLO, and error budgets.
• Hands-on observability experience with:
• Prometheus
• Grafana
• OpenTelemetry
• At least 2 log platforms such as Loki, Splunk, or Elasticsearch
• Strong GCP experience.
• Strong Kubernetes operational experience.
• Experience with Rancher K3s.
• Experience troubleshooting Apache Airflow and Tidal workflows/batch jobs.
• Experience with production-scale distributed systems and on-call support.
  

Preferred Skills

• Production Readiness Reviews / service launch experience.
• BigQuery and PostgreSQL.
• Chaos Engineering / fault injection.
• TIC/Technical Incident Commander certification.
• Healthcare, pharmacy, retail, or other high-availability environments.
• LLM/GenAI for incident management, alert summarization, or runbook recommendations.
• Kafka.
• Istio / Envoy.
• Terraform / Ansible.

Important: The Incident Commander experience and production time-series anomaly detection should be treated as hard requirements. A candidate who only has general monitoring/observability experience but has never worked with anomaly detection models would not be a strong fit.